Machine Learning Using Python

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Machine Learning Using Python

Fees in INR: 12,900/-
Fees in $: 180.65/-

Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends. This Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning.


Expectations and Goals

This Machine Learning with Python course dives into the basics of machine learning using an approachable, and well-known, programming languagei.e python. You’ll learn about Supervised vs Unsupervised Learning, look into how Statistical Modeling relates to Machine Learning, and do a comparison of each.

Course Syllabus


Module 1 – Supervised vs Unsupervised Learning

  • Machine Learning vs Statistical Modelling
  • Supervised vs Unsupervised Learning
  • Supervised Learning Classification
  • Unsupervised Learning

Module 2 – Supervised Learning I

  • K-Nearest Neighbors
  • Decision Trees
  • Random Forests
  • Reliability of Random Forests
  • Advantages & Disadvantages of Decision Trees

Module 3 – Supervised Learning II

  • Regression Algorithmss
  • Model Evaluation
  • Model Evaluation: Overfitting &Underfitting
  • Understanding Different Evaluation Models

Module 4 – Unsupervised Learning

  • K-Means Clustering plus Advantages & Disadvantages
  • Hierarchical Clustering plus Advantages & Disadvantages
  • Measuring the Distances Between Clusters – Single Linkage Clustering
  • Measuring the Distances Between Clusters – Algorithms for Hierarchy Clustering
  • Density-Based Clustering

Module 5 – Dimensionality Reduction & Collaborative Filtering

  • Dimensionality Reduction: Feature Extraction & Selection
  • Collaborative Filtering & Its Challenges

Exam Schedule

  • After the Completion of All Modules of Training

Project

For free demo classes please register